1 citations · 2 across the 3 of their papers we have counts for
3 papers
math.OC2023
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs
Taehyun Yoon, Jinwon Choi, Hyokun Yun +1
Finding a high-quality feasible solution to a combinatorial optimization (CO) problem in a limited time is challenging due to its discrete nature. Recently, there has been an incre…
cs.DC2014★ 1 cited
A Scalable Asynchronous Distributed Algorithm for Topic Modeling
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun +2
Learning meaningful topic models with massive document collections which contain millions of documents and billions of tokens is challenging because of two reasons: First, one need…
stat.ML2012★ 1 cited
Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process
Hyokun Yun, S. V. N. Vishwanathan
We introduce a novel and efficient sampling algorithm for the Multiplicative Attribute Graph Model (MAGM - Kim and Leskovec (2010)}). Our algorithm is \emph{strictly} more efficien…